code: def get_twin_q_values(
      self,
      model_out: TensorType,
      state_in: List[TensorType],
      seq_lens: TensorType,
      actions: Optional[TensorType] = None,
  ) -> TensorType:
      return self._get_q_value(
          model_out, actions, self.twin_q_net, state_in, seq_lens
      )
  
file_path: ray/rllib/algorithms/sac/rnnsac_torch_model.py
imports: import gymnasium
  from typing import Optional, List, Dict
  from ray.rllib.algorithms.sac.sac_torch_model import SACTorchModel
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.view_requirement import ViewRequirement
  from ray.rllib.utils import override, force_list
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.typing import ModelConfigDict, TensorType
label_desc: Use image node_id 5 for calling the RNNSACTorchModel obj's underlying member method code with example usage: obj.get_twin_q_values(model_out, state_in, seq_lens, actions) and returns: self